Parkinson’s disease (PD) is one of the most common neurodegenerative disorders that causes motor dysfunction including bradykinesia, tremor, rigidity and postural instability as well as neurocognitive impairment and depression (1). This condition affects approximately 0.3% of the general population and is about 1.5 times more common among men than women (2). The histopathological characteristic of PD is degeneration of mesencephalic dopaminergic neurons in the basal ganglia (3). The pathogenesis of the disease is still unclarified; however, it is believed to involve mitochondrial dysfunction and oxidative stress of the neurons (4).

Thyroid hormone plays a crucial role in not only regulating cellular metabolism and multiple organ systems, but also controlling neurodevelopment as well as modulating neurotransmission (57). It is well-known that hypothyroidism in early life can cause neurocognitive deficit and that thyroid dysfunction thyroid dysfunction in adult can manifest as neuropsychiatric symptoms such as memory problem and depression in hypothyroidism and irritability, insomnia, anxiety and psychosis in hyperthyroidism (810). In addition, evidence from clinical and epidemiologic studies suggests an inverted U-shaped association between thyroid function and cognitive function. In other words, both individuals with hypothyroidism and hyperthyroidism may have an increased risk of cognitive decline and dementia (10, 11).

It is however still unclear whether the presence of thyroid dysfunction can increase the risk of any specific neurodegenerative disorder (12). In fact, a number of observational studies have reported the association between thyroid dysfunction and PD, yielding mixed results (1321). Using systematic review and meta-analysis technique, we aimed to investigate whether patients with thyroid dysfunction (i.e., hypothyroidism and hyperthyroidism) had an increased risk of PD by identifying all available cohort and case-control studies and summarizing their results together.


Search Strategy

Three investigators (N.C., B.P., K.P.) independently searched records indexed in Medline and Embase from inception to December 2021. Search terms were obtained from terms related to “Hypothyroidism”, “Hyperthyroidism” and “Parkinson’s disease”. The detailed search strategy is shown in the Supplemental Material 1. No language limitation was applied. To ensure the comprehensiveness of study identification, the literature review was also performed in Google Scholar and bibliography of the eligible studies that were initially identified from EMBASE and MEDLINE. This study was performed in concordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, as shown in the Supplemental Material 2.

Inclusion Criteria

Eligible study must be either cohort or case-control study. Eligible cohort study must consist of one cohort of patients with hypothyroidism/hyperthyroidism and another cohort of individuals without hypothyroidism/hyperthyroidism. Then, the study must report effect estimates (e.g., relative risk, incidence rate ratio, hazard risk ratio or standardized incidence ratio) with 95% confidence intervals (95% CIs) of incident PD between individuals with hypothyroidism/hyperthyroidism versus comparators without hypothyroidism/hyperthyroidism. Eligible case-control studies must consist of cases with PD and controls without PD. Then, the study must explore their history of hypothyroidism/hyperthyroidism. Odds ratio (OR) with 95% CIs of the association between presence of hypothyroidism/hyperthyroidism and PD or percentage of participants with hypothyroidism/hyperthyroidism in each group must be reported.

Three investigators (N.C., B.P., K.P) independently reviewed the eligibility of the retrieved articles. Different opinion was resolved by discussion with the senior investigators (N.C., T.R.). Two investigators evaluated the quality of each study (N.C. and T.R.) using the Newcastle-Ottawa quality assessment scale for cohort study and case-control study (22).

Data Extraction

A standardized collection form was used for data extraction of the following information: last name of the first author, country of the study, study design, publication year, main findings, number of participants, recruitment of participants, diagnosis of hypothyroidism/hyperthyroidism, diagnosis of PD, follow-up duration (for cohort studies), average age of participants, percentage of female participants, comorbidities of participants and variables adjusted in multivariate analysis.

Statistical Analysis

We performed two separate meta-analyses including 1.) the meta-analysis of the association between hypothyroidism and risk of PD and 2.) the meta-analysis of the association between hyperthyroidism and risk of PD. Effect estimates with standard errors were extracted from each eligible study. Extracted effect estimates were combined together using the generic inverse variance method as described by DerSimonian and Laird (23). Random-effect model was used given that the eligible studies had different study protocols and background populations. Of note, for each eligible study that reported multiple effect estimates from different analysis models, one with most robust adjustment for confounders was selected with the aim to minimize the confounding effects. For those cohort studies that did not report adjusted estimates, number of subjects with outcome in each group would be extracted to calculate odds ratios, which would be combined with those from other case-control studies. For those cohort studies that reported effect estimates with adjustments for confounders (i.e., adjusted standardized incidence ratio or hazard ratio), those estimates would be selected and included into the pooled analysis with the assumption that the provided close estimation of relative likelihood of outcome.

The Cochran’s Q test was used to assess statistical heterogeneity. This statistical analysis was further complimented by the I2 statistic which determines the proportion of the total variation across studies that is secondary to heterogeneity rather than coincidence. A value of I2 of 0 – 25% represents insignificant heterogeneity, 26–50% low heterogeneity, 51–75% moderate heterogeneity and >75% high heterogeneity (24). If enough studies qualified for the meta-analysis, visualization of funnel plot would be used for investigating the presence of publication bias. All data analyses were performed using the StataMP15.


Search Results

A total of 3,147 records were retrieved from EMBASE and Medline databases in which 245 duplicated records were removed, leaving 2,902 articles for review of title and abstract. A total of 2,881 records were further excluded provided that they obviously did not meet the eligibility criteria based on study design and type of article, leaving 20 articles for full-text review. A total of 12 records were excluded at this stage since they did not report the outcome of interest, leaving 8 records eligible for the meta-analysis (1319, 21). Review of bibliography of those eligible records yielded one additional eligible study (20). Finally, three cohort studies (1315) and six case-control studies (1621) were eligible for the meta-analysis. Among them, two cohort studies (13, 14) and six case-control studies (1621) investigated the association between hypothyroidism and risk of PD, while two cohort studies (13, 15) and five case-control studies (1618, 20, 21) investigated the association between hyperthyroidism and risk of PD. Figure 1 demonstrates the search methodology and selection process of this study. The characteristics of the included cohort and case-control studies are presented in Tables 1, 2, respectively.

Figure 1 Study identification and literature review process.

Table 1 Main characteristics of the cohort studies included in the meta-analysis.

Table 2 Main characteristics of the case-control studies included in the meta-analysis.

Association Between Hypothyroidism and Risk of Parkinson’s Disease

The meta-analysis found a significant association between hypothyroidism and risk of PD with the pooled odds ratio of 1.56 (95%CI, 1.38 – 1.77). This meta-analysis had moderate statistical heterogeneity with I2 of 66.9%. Subgroup analysis by study design revealed significant association between hypothyroidism and increased risk of PD among the six case control studies (pooled odds ratio 1.31; 95%CI, 1.12 – 1.52; I2 0.0%) and the two cohort studies (pooled risk ratio 2.23; 95%CI, 1.80 – 2.78; I2 26.6%), as shown in Figure 2.

Figure 2 Forest plot of the meta-analysis of risk of Parkinson’s disease in patients with hypothyroidism.

Association Between Hyperthyroidism and Risk of Parkinson’s Disease

The meta-analysis found a significant association between hyperthyroidism and risk of PD with the pooled odds ratio of 1.57 (95%CI, 1.40 – 1.77). This meta-analysis had insignificant statistical heterogeneity with I2 of 0.0%. Subgroup analysis by study design revealed significant association between hyperthyroidism and increased risk of PD among the five case control studies (pooled odds ratio 1.48; 95%CI, 1.24 – 1.76; I2 0.0%) and the two cohort studies (pooled risk ratio 1.65; 95%CI, 1.42 – 1.93; I2 11.6%), as shown in Figure 3.

Figure 3 Forest plot of the meta-analysis of risk of Parkinson’s disease in patients with hyperthyroidism.

Evaluation for Publication Bias

Funnel plots were used for assessment for publication bias of the meta-analysis. The funnel plots for both meta-analyses of hypothyroidism and risk of PD (Figure 4) and hyperthyroidism and risk of PD (Figure 5) were fairly symmetric, which did not indicate presence of publication bias.

Figure 4 Funnel plot of the meta-analysis of risk of Parkinson’s disease in patients with hypothyroidism.

Figure 5 Funnel plot of the meta-analysis of risk of Parkinson’s disease in patients with hyperthyroidism.


This study is the first systematic review and meta-analysis that summarizes all availab e data from cohort and case-control studies that investigated the association between thyroid dysfunction and risk of PD. The pooled analysis revealed that both hypothyroidism and hyperthyroidism were associated with approximately 1.6 times increased risk of PD.

The underlying mechanism of the observed association between thyroid dysfunction and risk of PD is largely undetermined, but there are some possible explanations. First, thyroid hormone is shown to be a key factor for the induction and function of dopaminergic neurons by inducing the expression of the nuclear receptor-related 1 protein (25). This protein is essential for the survival and function of mensencephalic dopaminergic neurons as it appears to modulate the expression of enzymes and transporters that are important for the synthesis and storage of dopamine, including tyrosine hydroxylase, dopamine transporter, vesicular monoamine transporter 2, and l-aromatic amino acid decarboxylase (26). Therefore, it is expected that thyroid hormone deficiency may lead to a decrease in number and function of mesencephalic dopaminergic neuron, which is a pathological characteristic of PD.

On the other hand, thyroid hormone excess can lead to increased cellular metabolism resulting in a high burden of oxidative stress from the mitochondria in multiple tissues including the neuron (27, 28). This process is also known to be the pathophysiological hallmark of PD and therefore is likely to mediate the association between hyperthyroidism and PD (4).

In addition, thyroid dysfunction can result in myopathy, decreased muscle strength and impaired physical performance as thyroid hormone signaling is essential for skeletal muscle development and function (29, 30). Reduced muscle strength is also recognized as one of the neurological presentations in PD (31). Thus, decreased muscle function associated with thyroid dysfunction may lead to overt motor presentation and subsequently diagnosis of PD.

It is also probable that thyroid disease and PD may share a common genetic predisposition since studies have identified variations of several genes including RASD2, WSB1, MAPT, GIRK2, LRRK2 and genes in the NADPH oxidase/dual oxidase family to affect the risk for both thyroid disease and PD (32).

Besides the direct effects of thyroid hormone on dopaminergic neuron and skeletal muscle function and shared genetic risk, it is worth noting that the observed association may be driven by autoimmunity as recent evidence suggests that autoimmune response and neuroinflammation may play a role in the pathogenesis of Parkinson’s disease (13). This supported by the findings from several epidemiologic studies demonstrating an increased risk of PD disorders among patients with autoimmune diseases (13, 33). In addition, studies have suggested that presence of thyroid autoantibodies (anti-thyroid peroxidase and anti-thyroglobulin) are associated with neurodegenerative disorders such as multiple system atrophy and cerebellar degeneration (34, 35). However, whether and how thyroid autoantibodies affect the dopaminergic neurons and risk of PD is unknown.

The results of this study may have some clinical and research implications as they suggest that thyroid hormone signaling plays an essential role in pathogenesis of PD and that overt thyroid dysfunction could be a modifiable risk factor for PD. Further studies should be conducted to determine how duration and degree of severity of thyroid dysfunction affect the risk and severity of PD and to investigate whether treatment to achieve euthyroid status can reverse the risk and severity of PD. It is also worth investigating if subclinical thyroid dysfunction is associated with PD and whether screening for thyroid dysfunction and treatment for subclinical thyroid dysfunction should be recommended in patients with newly diagnosed PD.

This meta-analysis carries some limitations that should be acknowledged. First, in both analyses of hypothyroidism and hyperthyroidism and risk of PD, all except one case-control studies reported no significant association between exposure and outcome. This is likely because most of the case-control studies are of limited quality based on Newcastle-Ottawa score of less than seven (1618, 20, 36), while most studies that demonstrated significant association are of higher quality (13, 15, 21). Second, many of the included studies relied on diagnosis codes from administrative databases to identify and diagnose thyroid dysfunction and PD (13, 15, 20, 21). Thus, the completeness of case identification and accuracy of the diagnoses of both diseases could be limited. Finally, the relatively small number of included studies in both meta-analyses may jeopardize the validity of the funnel plots.


This systematic review and meta-analysis found a significant association of both hypothyroidism and hyperthyroidism with an increased risk of PD.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Author Contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at:



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